D R . S T E L I O S K R I N I D I S S E N I O R P O S T D O C T O R A L R E S E A R C H E R A T T H E I N F O R M A T I O N T E C H N O L O G I E S I N S T I T U T E

LINKED OPEN DATA & DATA MANAGEMENT IN

ENERGY SECTOR

21/06/2017 "Open Science: Issues and Prospects" Workshop

OUTLINE

• Introducing Linked Open Data

• LOD in EeB and BLCEM

• LOD Challenges & Questions

• EU DM Guidelines

• H2020 Use Case...

21/06/2017 2 "Open Science: Issues and Prospects" Workshop

INTRODUCING LOD

• Publishing of structured data • interlinked • more useful through

semantic queries.

• It builds upon standard

Web technologies to share information in a way that can be read automatically by computers.

• This enables data from different sources to be connected and queried.

21/06/2017 "Open Science: Issues and Prospects" Workshop 3

Linked Open Data Cloud

LOD & BLC STAGES

• Building Life Cycle Energy Management Stages

21/06/2017 "Open Science: Issues and Prospects" Workshop 4

BLC STAGES & DATA DOMAINS (I)

• Data Domains -> BLC

21/06/2017 "Open Science: Issues and Prospects" Workshop 5

Design

Construction

Commissioning

Operational

Re-Design

Demolition

Product

Device

Data

Communication

Behavior

Control

Geolocation

Weather

Energy

BLC STAGES & DATA DOMAINS (II)

21/06/2017 "Open Science: Issues and Prospects" Workshop 6

• Analysis of 100+ EeB Projects in EU Programmes

(65 produced data)

44

16

11

52

43

4

0

10

20

30

40

50

60

BLC Stages

Planning & Design

Construction

Commissioning

Operation

Retrofitting /

Refurbishment /

Reconfiguration

Demolition /

Recycling

54

47

42

28 26

46

61

44

0

10

20

30

40

50

60

70

Data Domains

Building Product

Building Devices

Building Control

Building Behavior

Building

Communication

Building Data

Energy

Geolocation and

Weather

DATA DOMAINS & DATA MODELS

21/06/2017 "Open Science: Issues and Prospects" Workshop 7

• 31 Different Data Models – Major Overlappings

0 2 4 6 8 10 12 14 16 18

Product

Devices

Control & Behaviour

Data & Communications

Geolocation and Weather

Energy

Cross Domain

COBIE Collada CIM CityGML CMO eeBIM Link EEML eMIX

ERO ESIM GAEBXML gbXML GeoJSON GeoNames IFC bSDD

Knoholem LandXML UM oBIX Data Cube REMO Schema.org SIMModel

SEM SensorML SSN SIO SUMO WGS84 ee-district

LOD CHALLENGES

• Availability of content;

• Ontology availability, development and evolution;

• Scalability;

• Multilinguality;

• Visualization and

• Stability of Semantic Web languages.

21/06/2017 8 "Open Science: Issues and Prospects" Workshop

LOD OPEN QUESTIONS

• How to improve or even automate the identification of ontology alignments (see word matching algorithms)?

• How to foster reuse of existing ontology definitions?

• How to manage linked data, in particular in a collaborative environment where data is constantly updated? How to keep consistency; deal with access rights and data versioning?

• How is it possible to effectively query information from highly heterogeneous data sources?

• Do we still need a shared vocabulary (maybe as a simplified version), which often means a compromise for a specific use case, or does LOD allow to focus on highly optimized, use case specific ontologies?

21/06/2017 9 "Open Science: Issues and Prospects" Workshop

HOW TO DEAL WITH THAT?

A Proper Data Management is required:

• F.A.I.R. DM in Horizon 2020*

• findable,

• accessible,

• interoperable and

• re-usable

• Open Research Data Pilot (ORD)

21/06/2017 10 "Open Science: Issues and Prospects" Workshop

F.A.I.R. DM IN HORIZON 2020

Includes:

• The handling of research data during & after the end of the project

• What data will be collected, processed and/or generated

• Which methodology & standards will be applied

• Whether data will be shared/made open access, and

• How data will be curated & preserved (including after the end of the project)

21/06/2017 11 "Open Science: Issues and Prospects" Workshop

F.A.I.R. DM METHODOLOGY

F.A.I.R. Principles (Template)

• Making data • findable, including provisions for metadata

• openly accessible

• Interoperable

• Increase data re-use (through clarifying licences)

Further to the FAIR principles, DMPs should also address:

• Allocation of resources

• Data security

• Ethical aspects

• Other issues that may exist

21/06/2017 12 "Open Science: Issues and Prospects" Workshop

HOW DO WE APPLY IT?

Collaborative Recommendations and Adaptive Control for Personalised Energy Saving

(2016: H2020-EE-07 2016 IA)

• Obj. 1: Stimulate behavioural change for energy saving…

• Obj. 2: Make energy usage data accessible to consumers ...

• Obj. 3: Demonstrate that individual comfort levels can be maintained while achieving energy savings.

• Obj. 4: Validate the relative effectiveness of different types of behavioural change interventions for different types of users, in different types of settings and in different climatic conditions.

• Obj. 5: Make the enCOMPASS platform, digital tools, services and acquired energy data available …

• Participating in the ORD Pilot as a Project

21/06/2017 13 "Open Science: Issues and Prospects" Workshop

DMP & LOD IN ENCOMPASS (I)

• Collection of energy-related data (mainly

consumption) in

• households,

• schools and

• public buildings

• In Pilots located in

• Germany (Haßfurt)

• Greece (Athens & Thessaloniki)

• Switzerland (Gambarogno)

21/06/2017 14 "Open Science: Issues and Prospects" Workshop

DMP & LOD IN ENCOMPASS (IΙ)

Initial Approach – Definition of:

• Purpose of data collection

• Relation to the objectives

• Types & Format of Data

• Re-use of existing data

• Origin of data

• Users of the data

Second Approach – FAIR compliance.

21/06/2017 15 "Open Science: Issues and Prospects" Workshop

MAKING DATA FINDABLE

• Annotation using public metadata standards • DDI will be used for socio-economic data where possible, and

• OGC's will be used for sensor generated data.

• Provided the data is not covered by NDAs and it does not violate ethics, it will be published using the Zenodo platform, which enables the association of a DOI to the generated data sets.

• Data sets will be catalogued by a structured approach to a naming convention defined as follows:

enCOMPASS_TYP_AAA_CC_PP_BTY_BLDID_vXX_(short_title)

This convention might be revised according to the specific needs arising during the project.

21/06/2017 16 "Open Science: Issues and Prospects" Workshop

MAKING DATA ACCESSIBLE

• Data will be published using an open platform such

as Zenodo, aiming for compliancy with the

OpenAIRE initiative.

• Anonimization & user(s) clearance must be issued

by the data owners

• Restricted data will not be published online and will

not be made available to the public.

21/06/2017 17 "Open Science: Issues and Prospects" Workshop

MAKING DATA INTEROPERABLE

The interoperability of the collected data will be

ensured by the compliance to standard ontologies

as much as possible (DDI and OGC's)

21/06/2017 18 "Open Science: Issues and Prospects" Workshop

INCREASE DATA RE-USE

• Open Access is supported by the use of

Zenodo (Clarifying licenses).

• Data will be available to the public as long as

the Zenodo repository will be available.

• Feeding the Cloud…

21/06/2017 19 "Open Science: Issues and Prospects" Workshop

ENCOMPASS CONSORTIUM

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21/06/2017 "Open Science: Issues and Prospects" Workshop

K R I N I D I S @ I T I . G R

QUESTIONS???

21